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Motion

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Condition-Invariant Robot Localization Using Global Sequence Alignment of Deep Features.

Sensors (Basel, Switzerland)
Localization is one of the essential process in robotics, as it plays an important role in autonomous navigation, simultaneous localization, and mapping for mobile robots. As robots perform large-scale and long-term operations, identifying the same l...

Deep Learning Techniques for Spanish Sign Language Interpretation.

Computational intelligence and neuroscience
Around 5% of the world population suffers from hearing impairment. One of its main barriers is communication with others since it could lead to their social exclusion and frustration. To overcome this issue, this paper presents a system to interpret ...

Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients.

Magnetic resonance in medicine
PURPOSE: Earlier work showed that IVIM-NET , an unsupervised physics-informed deep neural network, was faster and more accurate than other state-of-the-art intravoxel-incoherent motion (IVIM) fitting approaches to diffusion-weighted imaging (DWI). Th...

The concept of spatial motion restriction zones in a robot-assisted surgical system.

Journal of robotic surgery
The development of robotics and medicine in recent years leads to increasing mutual integration of these two disciplines. The use of specialized robotic solutions in medicine poses new challenges, including the issue of safety. The paper analyzes exi...

Measuring and modeling the motor system with machine learning.

Current opinion in neurobiology
The utility of machine learning in understanding the motor system is promising a revolution in how to collect, measure, and analyze data. The field of movement science already elegantly incorporates theory and engineering principles to guide experime...

Armor-Based Stable Force Pneumatic Artificial Muscles for Steady Actuation Properties.

Soft robotics
In this article, a novel actuator called armor-based stable force pneumatic artificial muscle (AS-PAM) is presented. AS-PAM has a sealed chamber made of polygonal parts and film, which helps the actuator to be lightweight (∼100 g) and achieve a large...

End-to-end deep learning nonrigid motion-corrected reconstruction for highly accelerated free-breathing coronary MRA.

Magnetic resonance in medicine
PURPOSE: To develop an end-to-end deep learning technique for nonrigid motion-corrected (MoCo) reconstruction of ninefold undersampled free-breathing whole-heart coronary MRA (CMRA).

A robotized handheld smart tool for orthopedic surgery.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Handheld surgical robots offer functionalities, such as active guidance, tremor suppression and force reflection, for surgeons to enhance their skill in manipulating surgical tools during medical intervention. In orthopedic surgery, the r...

Denoising and Motion Artifact Removal Using Deformable Kernel Prediction Neural Network for Color-Intensified CMOS.

Sensors (Basel, Switzerland)
Image intensifiers are used internationally as advanced military night-vision devices. They have better imaging performance in low-light-level conditions than CMOS/CCD. The intensified CMOS (ICMOS) was developed to satisfy the digital demand of image...

A novel underwater bipedal walking soft robot bio-inspired by the coconut octopus.

Bioinspiration & biomimetics
In order to increase the compatibility between underwater robots and the underwater environment and inspired by the coconut octopus's underwater bipedal walking, a method was proposed for bipedal walking for an underwater soft robot based on a spring...